Multi-label Iterated Learning for Image Classification with Label Ambiguity

23 November 2021

David Vazquez

Papers citing "Multi-label Iterated Learning for Image Classification with Label Ambiguity"

22 / 22 papers shown

Title
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition Hao Tan Zichang Tan Jun Li Jun Wan Zhen Lei Stan Z. Li VLM 32 1 0 30 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning Martin Menabue Emanuele Frascaroli Matteo Boschini Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 23 0 0 19 Jul 2024
Eliciting the Priors of Large Language Models using Iterated In-Context Learning Jian-Qiao Zhu Thomas L. Griffiths BDL 37 2 0 04 Jun 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models Chenhao Zheng Jieyu Zhang Aniruddha Kembhavi Ranjay Krishna VLM CoGe 54 9 0 02 Apr 2024
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models Fuwen Luo Chi Chen Zihao Wan Zhaolu Kang Qidong Yan ... Xiaoyue Mi Peng Li Ning Ma Maosong Sun Yang Janet Liu 35 5 0 21 Feb 2024
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition Hao Tan Zichang Tan Jun Li Jun Wan Zhen Lei VLM 27 0 0 31 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning Shangmin Guo Yi Ren Stefano V.Albrecht Kenny Smith 26 3 0 16 Jan 2024
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 35 15 0 28 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin Xingyu Chen Yunhang Shen Chaoyou Fu Yun Gu Ke Li Xing Sun Rongrong Ji 29 3 0 15 Oct 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data Ahmet Iscen Alireza Fathi Cordelia Schmid VLM 3DV 33 25 0 11 Apr 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 21 7 0 04 Apr 2023
Natural Language-Assisted Sign Language Recognition Ronglai Zuo Fangyun Wei Brian Mak SLR 20 37 0 21 Mar 2023
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance Qiongdan Lou Zhaohong Deng K. Choi Shitong Wang 19 2 0 09 Jan 2023
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 40 34 0 13 Jul 2022
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation Guillem Martinez Maya Aghaei M. Dijkstra Bhalaji Nagarajan Femke Jaarsma J. V. D. Loosdrecht P. Radeva K. Dijkstra 31 0 0 23 Mar 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 11 33 0 11 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 28 75 0 04 Feb 2022
Iterated learning for emergent systematicity in VQA Ankit Vani Max Schwarzer Yucheng Lu Eeshan Gunesh Dhekane Aaron C. Courville 70 24 0 03 May 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 395 142 0 13 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018